Effects of ascites exposure from ovarian cancer on epithelial cancer cell lines
RNA-seq (gene expression) · human · 12 samples
- What it is
- RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
- Organism
- Homo sapiens (human)
- Samples
- 12 samples: 3 × CAOV3_Control vs 3 × CAOV3_Ascites vs 3 × TOV21G_Control vs 3 × TOV21G_AscitesGroups are read from the sample names, not from the paper. Check the list below.
- Data you can get
- A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
- Paper
- Ascites protects against ferroptosis and enables the peritoneal growth of ovarian cancerNature communications · 2026
Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.
Processed table
The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE281415_RAW.tar (it can run to tens of gigabytes).
Raw sequencing reads
The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.
What the files usually look like: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.
Also filed as BioProject PRJNA1183822 and SRA study SRP544047. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 12 samples.
How we read this: 4 replicated groups read from 12 sample titles; they account for 12 of them. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.
- GSM8620254 CAOV3_Control_Rep_1 CAOV3_Control
- GSM8620255 CAOV3_Control_Rep_2 CAOV3_Control
- GSM8620256 CAOV3_Control_Rep_3 CAOV3_Control
- GSM8620257 CAOV3_Ascites_Rep_1 CAOV3_Ascites
- GSM8620258 CAOV3_Ascites_Rep_2 CAOV3_Ascites
- GSM8620259 CAOV3_Ascites_Rep_3 CAOV3_Ascites
- GSM8620260 TOV21G_Control_Rep_1 TOV21G_Control
- GSM8620261 TOV21G_Control_Rep_2 TOV21G_Control
- GSM8620262 TOV21G_Control_Rep_3 TOV21G_Control
- GSM8620263 TOV21G_Ascites_Rep_1 TOV21G_Ascites
- GSM8620264 TOV21G_Ascites_Rep_2 TOV21G_Ascites
- GSM8620265 TOV21G_Ascites_Rep_3 TOV21G_Ascites
- GSE316734 Characterization of sensitivity and resistance mechanisms to DHX9 inhibitor in endometrial and ovarian cancer cell lines 48 samples shares ovarian, lines
- GSE273995 Cell-intrinsic platinum response and associated genetic and gene expression signatures in ovarian cancer cell lines and isogenic models 36 samples shares ovarian, lines
- GSE274006 Cell-intrinsic platinum response and associated genetic and gene expression signatures in ovarian cancer cell lines and isogenic models [isogenic models] 33 samples shares ovarian, lines
- GSE241908 Transcriptomic profiles of ovarian cancer cells isolated from paired cancer ascites before and after chemotherapy 14 samples shares ascites, ovarian
- GSE293643 Peritoneal tumor spread in serous ovarian cancer-epithelial mesenchymal status and outcome 42 samples shares epithelial, ovarian
- GSE336490 Comparative toxicogenomic profiling of human epithelial cell lines exposed to hazardous chemicals 120 samples shares epithelial, lines
- GSE292944 Culture Media Strongly Influences Primary Human Bronchial Epithelial Cells' Transcriptomic Response to Ozone Exposure 24 samples shares epithelial, exposure
- GSE284400 Gene expression and mutation profiles in advanced-stage epithelial ovarian cancer (EOC) 78 samples shares epithelial, ovarian
Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.